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Article

Multi-center-validated machine learning model for cervical cancer based on human papillomavirus genotyping results.

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society - 1 Jun 2026

Chen Ziren, Zeng Yihui, Luo Lingxiao, Li Juan, Zheng Liangkai, Xie Yan, Xiao Jingjing, Zhang Lu, Zhang Qi, Sun Yixin, Sun Xiaoyi, Sui Long, Tao Xiang, Cong Qing

Abstract excerpt

OBJECTIVE: Cervical cancer remains a leading cause of gynecologic cancer-related mortality worldwide, with human papillomavirus (HPV) testing being a key screening tool. However, current guidelines often categorize high-risk HPV types broadly, overlooking their varying oncogenic potentials. This study aimed to develop and validate a machine learning model to predict cervical intra-epithelial neoplasia grade (CIN)...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 42102630
DOI: 10.1016/j.ijgc.2025.102855

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

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